Senior Research Engineer - AI Agents/AgentOps

Huawei Technologies Canada Co., Ltd. • Markham, ON

21h

About The Position

Huawei Canada has a 12-month contract opening for a Senior Research Engineer. The Distributed Scheduling and Data Engine Lab is Huawei Cloud's technical innovation center in Canada, focusing on researching and developing advanced cloud technologies. Current research areas include cloud native databases, intelligent SQL engine, AI/Agent infrastructure and LLM/Agent Evaluation Technology. The lab fosters a robust technical environment, allowing collaboration with industry experts to create a highly competitive cloud platform. This role involves building LLM-powered AI agents for cloud services, focusing on robust agent design, orchestration, and integration into PaaS platforms. The engineer will translate high-level academic concepts into production-ready code, building AI tooling and application platforms at scale. They will work closely with AI researchers and cloud engineers to design, implement, and evaluate AI-driven systems, focusing on the performance and stability of agentic workflows through rigorous testing and system evaluation. There are opportunities for applied research, including publishing, patenting, and advancing the state of the art in autonomous AI systems.

Requirements

• Master’s or PhD in Computer Science, Machine Learning, AI, or a related field
• Strong skills in Python and PyTorch
• AI Expertise: Deep understanding of Transformer architectures and Generative AI techniques (fine-tuning, PEFT)
• Design and implement sophisticated orchestration layers (State Machines, DAGs, or Multi-agent systems) that go beyond simple linear chains.
• Develop rigorous benchmarking and evaluation protocols for agents (e.g., trajectory analysis, G-Eval, or custom "LLM-as-a-judge" metrics) to quantify agent reliability.
• Ability to translate high-level conceptual topics into clean, production-ready code.
• Excellent communication skills
• Ability to work independently on research tasks while maintaining a team-first attitude.

Nice To Haves

• Industry experience for PhD holders is an asset.
• Familiarity with AI Agent evaluation or observability is an asset.

Responsibilities

• Build LLM-powered AI agents for cloud services, focusing on robust agent design, orchestration, and integration into PaaS platforms.
• Translate high-level academic concepts into hands-on, production-ready code, building AI tooling and application platforms at scale.
• Work closely with a team of AI researchers and cloud engineers to design, implement, and evaluate AI-driven systems.
• Focus on the performance and stability of agentic workflows through rigorous testing and system evaluation.
• Conduct applied research with opportunities to publish, patent, and push the state of the art in autonomous AI systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior